ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Summary dataset provides a full snapshot of clinic services and profile, patient characteristics, and ART success rates. It is worth noting that patient medical characteristics, such as age, diagnosis, and ovarian reserve, affect ART treatment’s success. Comparison of success rates across clinics may not be meaningful because of differences in patient populations and ART treatment methods. The success rates displayed in this dataset do not reflect any one patient’s chance of success. Patients should consult with a doctor to understand their chance of success based on their own characteristics.

ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Summary dataset provides a full snapshot of clinic services and profile, patient characteristics, and ART success rates. It is worth noting that patient medical characteristics, such as age, diagnosis, and ovarian reserve, affect ART treatment’s success. Comparison of success rates across clinics may not be meaningful because of differences in patient populations and ART treatment methods. The success rates displayed in this dataset do not reflect any one patient’s chance of success. Patients should consult with a doctor to understand their chance of success based on their own characteristics.

ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Patient and Cycle Characteristics dataset summarizes the types of ART services performed and the kinds of patients who received ART procedures in a specific clinic. Please note patient characteristics are presented per cycle rather than per patient. As a result, patients who had more than one ART cycle within the reporting year are represented more than once.

ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Success Rates dataset contains success rates for ART cycles started during the year indicated. Since ART success depends on whether patients are using their own eggs or donor eggs, success rates are included separately for these two groups. Success rates for patients using their own eggs are shown per intended retrieval, per actual retrieval, and per transfer. These success rates are reported as cumulative success rates, which take into account transfers that occur within 1 year after an egg retrieval. Since ART success depends on whether patients are using ART for the first time or had prior ART cycles, users can examine success rates for all “Patients using their own eggs” or for “Patients with no prior ART using their own eggs.” For new patients using ART for the first time, the success rates are also shown after 1, 2, or all intended egg retrievals during the reporting year. In addition, the average number of transfers per intended retrieval and the average number of intended retrievals per live-birth delivery are shown. Success rates for ART cycles that involve the transfer of embryos created from donor eggs or donated embryos are shown and are not cumulative. They are based on donor cycles started in the year indicated that had embryo transfers, regardless of when the donor eggs were retrieved. Success rates in this section are not presented by patient age group because previous data show that an intended parent’s age does not substantially affect success when using donor eggs or donated embryos. The success rates are presented by types of embryos and eggs used in the transfer. This dataset excludes cycles that were considered research—that is, cycles performed to evaluate new procedures.

Data were updated on September 11, 2024. ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Success Rates dataset contains success rates for ART cycles started during the year indicated. Since ART success depends on whether patients are using their own eggs or donor eggs, success rates are included separately for these two groups. Success rates for patients using their own eggs are shown per intended retrieval, per actual retrieval, and per transfer. These success rates are reported as cumulative success rates, which take into account transfers that occur within 1 year after an egg retrieval. Since ART success depends on whether patients are using ART for the first time or had prior ART cycles, users can examine success rates for all “Patients using their own eggs” or for “Patients with no prior ART using their own eggs.” For new patients using ART for the first time, the success rates are also shown after 1, 2, or all intended egg retrievals during the reporting year. In addition, the average number of transfers per intended retrieval and the average number of intended retrievals per live-birth delivery are shown. Success rates for ART cycles that involve the transfer of embryos created from donor eggs or donated embryos are shown and are not cumulative. They are based on donor cycles started in the year indicated that had embryo transfers, regardless of when the donor eggs were retrieved. Success rates in this section are not presented by patient age group because previous data show that an intended parent’s age does not substantially affect success when using donor eggs or donated embryos. The success rates are presented by types of embryos and eggs used in the transfer. This dataset excludes cycles that were considered research—that is, cycles performed to evaluate new procedures.

2020 Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics

  Description

ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.”… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/2020-final-assisted-reproductive-technology-art-pa.

Tranche 2: Strategic Objective 4

Automation can improve biosecurity surveillance systems

Surveillance is an essential part of protecting New Zealand’s economic assets and natural taonga from damaging exotic organisms.

Our government currently spends over $125 million a year on monitoring for biological threats. It’s an expensive process because it requires thousands of hours of highly skilled human labour.

As part of the BioHeritage National Science Challenge the State-of-the-art Surveillance team is developing prototype technologies that will automate and improve surveillance results, while saving costs.

Research Area Summary

Spectral imaging for urban tree health

Our research team is using a camera mounted on a moving vehicle to monitor the health of our urban rākau (trees).

The camera takes pictures of street trees every fortnight. Images are pre-processed to maintain people’s privacy (blurring cars, people, houses etc.) and then analysed by computer to identify what kind of trees each street has, and whether they look damaged by pest or disease.

When we find sick trees we can send a biosecurity inspector to focus just on the damaged trees – saving time and money. It works the other way, too: if our DNA project above discovers a new insect has entered the country, and we know that it’s a threat to a specific kind of tree, we’ll have a map of where those trees are in our cities and can go inspect them.

Insect Soup: sampling eDNA with light traps

Our researchers are installing UV light traps at the Port of Tauranga to help detect the arrival of foreign insects.

All of the insects caught will be analyzed in the lab by a process called High-Throughput Sequencing (HTS). This will tell us the DNA of every insect species caught in the trap.

If a new insect species or a known threat comes into Tauranga, we know where and when it was collected, and we can take steps to eradicate it.

Developing DNA diagnostic technologies like this allows us to cost-effectively scale-up our efforts to find new pests early. This early detection is essential for protecting our natural and productive environments.

Leader:

• Steve Pawson (University of Canterbury)

Acoustic Surveillance System Market Outlook

According to our latest research, the Global Acoustic Surveillance System market size was valued at $2.3 billion in 2024 and is projected to reach $6.7 billion by 2033, expanding at a robust CAGR of 12.8% during the forecast period of 2025–2033. The primary growth driver for the acoustic surveillance system market globally is the rising demand for advanced security and monitoring solutions across critical infrastructure sectors, including government, military, and commercial entities. With increasing threats to public safety, national borders, and private assets, organizations are prioritizing the deployment of state-of-the-art acoustic surveillance systems that can detect, analyze, and respond to suspicious sounds or activities in real time. This heightened focus on proactive security, coupled with rapid technological advancements in artificial intelligence and machine learning for sound recognition, is fueling market expansion worldwide.

Regional Outlook

North America currently commands the largest share of the global acoustic surveillance system market, accounting for over 38% of the total market value in 2024. This dominance is attributed to the region’s advanced security infrastructure, high adoption rate of innovative surveillance technologies, and significant government investments in border security and law enforcement modernization. The presence of leading technology providers and a mature regulatory framework further enhances market penetration. Additionally, the integration of AI-driven analytics and IoT connectivity in acoustic surveillance solutions is particularly prevalent in the United States and Canada, where both public and private sectors are keen on leveraging real-time audio intelligence for enhanced situational awareness and rapid incident response.

The Asia Pacific region is emerging as the fastest-growing market for acoustic surveillance systems, projected to register a CAGR of 15.4% from 2025 to 2033. This rapid growth is fueled by escalating security concerns, urbanization, and increasing investments in smart city projects across countries such as China, India, Japan, and South Korea. Governments in the region are actively upgrading their security apparatus to address rising crime rates, terrorism threats, and cross-border infiltration. Furthermore, the proliferation of cloud-based surveillance solutions and the expansion of commercial and industrial sectors are accelerating the adoption of acoustic monitoring technologies. The region’s strong manufacturing base also supports the local production and deployment of cost-effective hardware solutions, contributing to overall market growth.

In emerging economies across Latin America, the Middle East, and Africa, the adoption of acoustic surveillance systems is gaining momentum, albeit at a slower pace compared to developed regions. Factors such as limited infrastructure, budget constraints, and a lack of standardized regulatory policies pose significant challenges. However, there is a growing recognition of the need for advanced security solutions, particularly in urban centers, critical infrastructure, and border areas. Localized demand is being driven by increasing incidents of organized crime, terrorism, and industrial espionage. Governments and private sector players are gradually embracing acoustic surveillance, supported by international collaborations, pilot projects, and tailored solutions designed to address specific regional requirements.

Report Scope

The Middle East and Africa video surveillance market is experiencing robust growth, projected to reach a market size of $4.32 billion in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 5.80% from 2025 to 2033. This expansion is driven by several key factors. Increased security concerns across various sectors, including commercial, infrastructure, and residential, are fueling demand for advanced surveillance solutions. The rising adoption of Internet Protocol (IP) cameras, offering superior image quality and remote accessibility compared to analog systems, is a significant trend. Furthermore, the growing integration of video analytics and Video Surveillance as a Service (VSaaS) is enhancing the efficiency and effectiveness of surveillance systems, attracting both large enterprises and smaller businesses. Government initiatives promoting smart city infrastructure and bolstering national security are also contributing to market growth. While data privacy concerns and the initial high investment costs of advanced systems present some restraints, the overall market outlook remains positive. The regional breakdown within the Middle East showcases diverse growth patterns. Countries like Saudi Arabia and the UAE, with their significant investments in infrastructure development and ambitious smart city projects, are likely leading market segments. Israel’s advanced technology sector also contributes significantly. However, economic conditions and varying levels of technological adoption across different nations within the region will influence the pace of market penetration. The market segmentation by hardware (cameras and storage), software (analytics and management systems), and services (VSaaS) reflects a dynamic ecosystem, with increasing demand for integrated solutions combining these elements. Major players like Axis Communications, Bosch, and Honeywell are well-positioned to capitalize on these trends through product innovation and strategic partnerships, but competition from emerging local and international providers is likely to intensify. Recent developments include: March 2024: Hikvision announced a technology partnership with Can'nX, enabling Hikvision technologies to be integrated with the KNX protocol, the global standard for home and building automation. Owing to the collaboration, integrators can enhance their building automation solutions by integrating Hikvision AI-enabled devices, such as cameras, into building systems, surging the efficiency of building management and improving overall security.October 2023: FUJIFILM introduced the FUJINON SX1600 camera system for long-range surveillance applications for the first time in a European show at the Milipol homeland security and safety show held in ParisNord Villepinte from November 14 to 17, 2023, at booth 4F055. The SX1600 is a state-of-the-art long-range camera system incorporating a 40x-zoom FUJINON lens that covers a focal length range from the wide-angle 40 mm to 1600 mm telephoto and has been further equipped with a newly developed image stabilization system and fast and accurate autofocus to capture a distant subject clearly and instantaneously.. Key drivers for this market are: Emergence of Video Surveillance-as-a-Service, Increasing Demand for Video Analytics. Potential restraints include: Emergence of Video Surveillance-as-a-Service, Increasing Demand for Video Analytics. Notable trends are: Rising Geopolitical Unrest in the Region Driving the Importance of Proper Surveillance.